Publicação:
Production lot sizing and scheduling with non-triangular sequence-dependent setup times

dc.contributor.authorClark, Alistair
dc.contributor.authorMahdieh, Masoumeh
dc.contributor.authorRangel, Socorro [UNESP]
dc.contributor.institutionUniv W England
dc.contributor.institutionMiddlesex Univ
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-12-03T13:11:09Z
dc.date.available2014-12-03T13:11:09Z
dc.date.issued2014-04-18
dc.description.abstractThis paper considers a production lot sizing and scheduling problem with sequence-dependent setup times that are not triangular. Consider, for example, a product that contaminates some other product unless either a decontamination occurs as part of a substantial setup time or there is a third product that can absorb 's contamination. When setup times are triangular then and there is always an optimal lot sequence with at most one lot per product per period (AM1L). However, product 's ability to absorb 's contamination presents a shortcut opportunity and could result in shorter non-triangular setup times such that . This implies that it can sometimes be optimal for a shortcut product such as to be produced in more than one lot within the same period, breaking the AM1L assumption in much research. This paper formulates and explains a new optimal model that not only permits multiple setups and lots per product in a period (ML), but also prohibits subtours using a polynomial number of constraints rather than an exponential number. Computational tests demonstrate the effectiveness of the ML model, even in the presence of just one decontaminating shortcut product, and its fast speed of solution compared to the equivalent AM1L model.en
dc.description.affiliationUniv W England, Dept Engn Design & Math, Bristol BS16 1QY, Avon, England
dc.description.affiliationMiddlesex Univ, Sch Business, London N17 8HR, England
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Matemat Aplicada, Sao Jose Do Rio Preto, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Matemat Aplicada, Sao Jose Do Rio Preto, Brazil
dc.description.sponsorshipGlobal Research Award from the Royal Academy of Engineering, London
dc.description.sponsorshipFP7 Marie Curie International Research Staff Exchange Scheme (IRSES) grant [PPExt] from the European Commission
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFP7 Marie Curie International Research Staff Exchange Scheme (IRSES) grant [PPExt] from the European Commission2009-246881
dc.format.extent2490-2503
dc.identifierhttp://dx.doi.org/10.1080/00207543.2014.885662
dc.identifier.citationInternational Journal Of Production Research. Abingdon: Taylor & Francis Ltd, v. 52, n. 8, p. 2490-2503, 2014.
dc.identifier.doi10.1080/00207543.2014.885662
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11449/112919
dc.identifier.wosWOS:000333997900036
dc.language.isoeng
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofInternational Journal of Production Research
dc.relation.ispartofjcr2.623
dc.relation.ispartofsjr1,432
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectsequence-dependent setup timesen
dc.subjectnon-triangular setup timesen
dc.subjectlot sizing and schedulingen
dc.titleProduction lot sizing and scheduling with non-triangular sequence-dependent setup timesen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderTaylor & Francis Ltd
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentMatemática Aplicada - IBILCEpt

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